PUMA References output

Author	Title	Year	Journal/Proceedings	Reftype	DOI/URL
	Semantics, Web and Mining [BibTeX]	2006		book	URL
BibTeX: @book{Semantic2006Ackermann,, title = {Semantics, Web and Mining}, publisher = {Springer}, year = {2006}, url = {http://dx.doi.org/10.1007/11908678} }
	Proceedings of the 2nd Workshop on Semantic Network Analysis [BibTeX]	2006		proceedings	URL
BibTeX: @proceedings{alani2006proceedings,, title = {Proceedings of the 2nd Workshop on Semantic Network Analysis}, year = {2006}, url = {http://www.kde.cs.uni-kassel.de/ws/sna2006/} }
Hoser, B., Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Semantic Network Analysis of Ontologies [Abstract] [BibTeX]	2006	The Semantic Web: Research and Applications	inproceedings	URL
Abstract: A key argument for modeling knowledge in ontologies is the easy -use and re-engineering of the knowledge. However, beside nsistency checking, current ontology engineering tools provide ly basic functionalities for analyzing ontologies. Since tologies can be considered as (labeled, directed) graphs, graph alysis techniques are a suitable answer for this need. Graph alysis has been performed by sociologists for over 60 years, and sulted in the vivid research area of Social Network Analysis NA). While social network structures in general currently receive gh attention in the Semantic Web community, there are only very w SNA applications up to now, and virtually none for analyzing the ructure of ontologies. e illustrate in this paper the benefits of applying SNA to tologies and the Semantic Web, and discuss which research topics ise on the edge between the two areas. In particular, we discuss w different notions of centrality describe the core content and ructure of an ontology. From the rather simple notion of degree ntrality over betweenness centrality to the more complex genvector centrality based on Hermitian matrices, we illustrate e insights these measures provide on two ontologies, which are fferent in purpose, scope, and size.
BibTeX: @inproceedings{hoser2006semantic, author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Semantic Network Analysis of Ontologies}, booktitle = {The Semantic Web: Research and Applications}, publisher = {Springer}, year = {2006}, volume = {4011}, pages = {514-529}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hoser2006semantic.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	BibSonomy: A Social Bookmark and Publication Sharing System [Abstract] [BibTeX]	2006	Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures	inproceedings	URL
Abstract: Social bookmark tools are rapidly emerging on the Web. In such stems users are setting up lightweight conceptual structures lled folksonomies. The reason for their immediate success is the ct that no specific skills are needed for participating. In this per we specify a formal model for folksonomies and briefly describe r own system BibSonomy, which allows for sharing both bookmarks d publication references in a kind of personal library.
BibTeX: @inproceedings{hotho2006bibsonomy, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {{BibSonomy}: A Social Bookmark and Publication Sharing System}, booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures}, publisher = {Aalborg Universitetsforlag}, year = {2006}, pages = {87-102}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Emergent Semantics in BibSonomy [Abstract] [BibTeX]	2006	Informatik 2006 -- Informatik für Menschen. Band 2	inproceedings	URL
Abstract: Social bookmark tools are rapidly emerging on the Web. In such stems users are setting up lightweight conceptual structures lled folksonomies. The reason for their immediate success is the ct that no specific skills are needed for participating. In this per we specify a formal model for folksonomies, briefly describe r own system BibSonomy, ich allows for sharing both bookmarks and blication references, d discuss first steps towards emergent semantics.
BibTeX: @inproceedings{hotho2006emergent, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Emergent Semantics in BibSonomy}, booktitle = {Informatik 2006 -- Informatik für Menschen. Band 2}, publisher = {Gesellschaft für Informatik}, year = {2006}, volume = {P-94}, note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	FolkRank: A Ranking Algorithm for Folksonomies [Abstract] [BibTeX]	2006	Proc. FGIR 2006	inproceedings	URL
Abstract: In social bookmark tools users are setting up ghtweight conceptual structures called folksonomies. Currently, e information retrieval support is limited. We present a formal del and a new search algorithm for folksonomies, called lkRank, that exploits the structure of the folksonomy. The oposed algorithm is also applied to find communities within the lksonomy and is used to structure search results. All findings are monstrated on a large scale dataset. A long version of this paper s been published at the European Semantic Web Conference 06.
BibTeX: @inproceedings{hotho2006folkrank, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {FolkRank: A Ranking Algorithm for Folksonomies}, booktitle = {Proc. FGIR 2006}, year = {2006}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf} }
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.	Trend Detection in Folksonomies [Abstract] [BibTeX]	2006	Proc. First International Conference on Semantics And Digital Media Technology (SAMT)	inproceedings	URL
Abstract: As the number of resources on the web exceeds by far the number of cuments one can track, it becomes increasingly difficult to remain to date on ones own areas of interest. The problem becomes more vere with the increasing fraction of multimedia data, from which is difficult to extract some conceptual description of their ntents. ne way to overcome this problem are social bookmark tools, which e rapidly emerging on the web. In such systems, users are setting lightweight conceptual structures called folksonomies, and ercome thus the knowledge acquisition bottleneck. As more and more ople participate in the effort, the use of a common vocabulary comes more and more stable. We present an approach for discovering pic-specific trends within folksonomies. It is based on a fferential adaptation of the PageRank algorithm to the triadic pergraph structure of a folksonomy. The approach allows for any nd of data, as it does not rely on the internal structure of the cuments. In particular, this allows to consider different data pes in the same analysis step. We run experiments on a large-scale al-world snapshot of a social bookmarking system.
BibTeX: @inproceedings{hotho2006trend, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Trend Detection in Folksonomies}, booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT) }, publisher = {Springer}, year = {2006}, volume = {4306}, pages = {56-70}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf} }
Jäschke, R., Hotho, A., Schmitz, C. & Stumme, G.	Wege zur Entdeckung von Communities in Folksonomies [Abstract] [BibTeX]	2006	Proc. 18. Workshop Grundlagen von Datenbanken	inproceedings	URL
Abstract: Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "`Web 2.0"' -- stellen lksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und t Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen n interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur tdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies.
BibTeX: @inproceedings{jaeschke2006wege, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, title = {Wege zur Entdeckung von Communities in Folksonomies}, booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken}, publisher = {Martin-Luther-Universität }, year = {2006}, pages = {80-84}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006wege.pdf} }
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G.	Content Aggregation on Knowledge Bases using Graph Clustering [Abstract] [BibTeX]	2006	The Semantic Web: Research and Applications	inproceedings	URL
Abstract: Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, it is necessary to obtain provide brief semantic descriptions of peers, so that routing algorithms or matchmaking processes can make decisions about which communities peers should belong to, or to which peers a given query should be forwarded. This paper provides a graph clustering technique on knowledge bases for that purpose. Using this clustering, we can show that our strategy requires up to 58% fewer queries than the baselines to yield full recall in a bibliographic P2PKM scenario.
BibTeX: @inproceedings{schmitz2006content, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, title = {Content Aggregation on Knowledge Bases using Graph Clustering}, booktitle = {The Semantic Web: Research and Applications}, publisher = {Springer}, year = {2006}, volume = {4011}, pages = {530-544}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf} }
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G.	Kollaboratives Wissensmanagement [Abstract] [BibTeX]	2006	Semantic Web - Wege zur vernetzten Wissensgesellschaft	inbook	URL
Abstract: Wissensmanagement in zentralisierten Wissensbasen erfordert nen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht mer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick er zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement ese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten nutzer dezentrale Wissensbasen, die dann vernetzt werden können, um dere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die ssensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in n Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.
BibTeX: @inbook{schmitz2006kollaboratives, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, title = {Kollaboratives Wissensmanagement}, booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft}, publisher = {Springer}, year = {2006}, pages = {273-290}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf} }
Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G.	Mining Association Rules in Folksonomies [Abstract] [BibTeX]	2006	Data Science and Classification. Proceedings of the 10th IFCS Conf.	inproceedings	URL
Abstract: Social bookmark tools are rapidly emerging on the Web. In such stems users are setting up lightweight conceptual structures lled folksonomies. These systems provide currently relatively few ructure. We discuss in this paper, how association rule mining n be adopted to analyze and structure folksonomies, and how the results can be used r ontology learning and supporting emergent semantics. We monstrate our approach on a large scale dataset stemming from an line system.
BibTeX: @inproceedings{schmitz2006mining, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, title = {Mining Association Rules in Folksonomies}, booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.}, publisher = {Springer}, year = {2006}, pages = {261--270}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf} }
Stumme, G., Hotho, A. & Berendt, B.	Semantic Web Mining - State of the Art and Future Directions [Abstract] [BibTeX]	2006	Journal of Web Semantics	article	URL
Abstract: SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining. is survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on proving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining chniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic b itself. e Semantic Web is the second-generation WWW, enriched by machine-processable information which supports e user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of ese resources. Therefore, automated schemes for learning the relevant information are increasingly being used. b Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily ntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, rmalizations of the semantics of Web sites and navigation behavior are becoming more and more common. rthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web ning and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not t realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer tegration could be profitable.
BibTeX: @article{jws2006Semantic, author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina}, title = {Semantic Web Mining - State of the Art and Future Directions}, journal = {Journal of Web Semantics}, publisher = {Elsevier}, year = {2006}, volume = {4}, number = {2}, pages = {124-143}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/stumme2006semantic.pdf} }

Created by JabRef export filters on 24/04/2024 by the social publication management platform PUMA